用选择性机器模拟分布计算

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS
M. Burgin
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引用次数: 0

摘要

本文描述和研究了具有非常规交互作用的分布式计算自动机。这些自动机被称为选择性机器,它们比图灵机更强大,而当递归算法(自动机)系统由于相互作用而变得超递归时,它们的高计算和识别能力只能通过相互作用来实现。选择机的计算由选择算法来描述,选择算法是超递归的,允许计算图灵机无法计算的函数。选择性算法的例子有禁止语法、纠正语法和排除语法。选择机器和选择算法的研究是基于算法的公理化理论,其结果是在公理化定义的自动机和算法类的一般情况下得到的。然后,通过检查必要的公理,这些结果被指定为许多具体的自动机和算法,如有限自动机或图灵机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling distributive computation by selective machines
In this paper, classes of automata that perform distributed computations with unconventional interaction are described and studied. These automata are called selective machines and they are more powerful than Turing machines while their high computing and recognising power can be achieved exclusively by interaction when a system of recursive algorithms (automata) becomes super-recursive due to their interaction. Computations of selective machines are described by selective algorithms, which are super-recursive allowing computations of functions that are incomputable by Turing machines. Examples of selective algorithms are grammars with prohibition, correction grammars and grammars with exclusion. The study of selective machines and selective algorithms is based on the axiomatic theory of algorithms, in which the results are obtained in the general situation of axiomatically defined classes of automata and algorithms. Then these results are specified for many concrete classes of automata and algorithms, such as finite automata or Turing machines, by checking the necessary axioms.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
27
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